Using LLMs to Understand Public Discourse
Analysis
This ArXiv paper explores the application of Large Language Models (LLMs) to understand and analyze public narratives. The study likely examines how LLMs can be used to identify key themes, sentiments, and biases within public discourse.
Key Takeaways
- •Applies LLMs to the analysis of public narratives.
- •Likely investigates sentiment analysis and topic extraction.
- •Source is an ArXiv paper, indicating early-stage research.
Reference
“The paper focuses on using LLMs.”